Category: Data and samples
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Reliability analysis in 2 dimensions-Part 2
Part 2 Sample generation In order to conduct Reliability Analysis we require a sample. What is a sample? Assume that this vertical arrow represents the time line on which maintenance work orders are issued and executed. We’ll consider five work orders conducted over a period of calendar time. Work order 1 was a functional failure…
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Data analysis precedes reliability analysis
Modern diesel engines are reliable. Nevertheless internal components do fail occasionally. More often failures occur in ancillary components such as injectors, coolant pump, fuel pump, lubricant pump, and other components. When performing a reliability analysis we don’t prejudge the outcome of the analysis. Our objective is to discover relationships between failure probability and observed data…
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Thoughts from a mine maintenance engineer
A mine maintenance engineer writes: My topic of interest is on how to evaluate the risk, failure effects and cost implications on components and work in general, in order to achieve the best cost per hour scenario and availability of equipment. For an example, if we look at a component. It has high hours!! but…
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Mesh: 12 steps to achieving reliability from data
Mesh is a Living RCM (LRCM) knowledge management system. It interfaces with the EAM in order to achieve two principal objectives: Once Mesh has been set up to work with your EAM you may use these 12 steps (slide presentations) as a guide for achieving reliability from data. 1 Configure the Mesh parameters 2 Build…
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How to assess EAM and CBM predictive capability
The article Take the EAM data health check provided maintenance engineers with a form for submitting their CBM and EAM data for assessment of its predictive decision support capability. In this article we’ll describe the methods we use to scrutinize the data and report on its analytical potential. Graph of CBM data and events The…